AIMC Journal:
IEEE transactions on medical imaging

Showing 391 to 400 of 687 articles

Adaptive Ultrasound Beamforming Using Deep Learning.

IEEE transactions on medical imaging Nov 30, 2020
Biomedical imaging is unequivocally dependent on the ability to reconstruct interpretable and high-quality images from acquired sensor data. This reconstruction process is pivotal across many applications, spanning from magnetic resonance imaging to ...
Deep Learning Ultrasonography Image Processing, Computer-Assisted Signal Processing, Computer-Assisted Phantoms, Imaging
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DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks.

IEEE transactions on medical imaging Nov 30, 2020
Chromosome enumeration is an essential but tedious procedure in karyotyping analysis. To automate the enumeration process, we develop a chromosome enumeration framework, DeepACEv2, based on the region based object detection scheme. The framework is d...
Neural Networks, Computer Chromosomes Karyotyping Metaphase
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Automatic Registration Between Dental Cone-Beam CT and Scanned Surface via Deep Pose Regression Neural Networks and Clustered Similarities.

IEEE transactions on medical imaging Nov 30, 2020
Computerized registration between maxillofacial cone-beam computed tomography (CT) images and a scanned dental model is an essential prerequisite for surgical planning for dental implants or orthognathic surgery. We propose a novel method that perfor...
Humans Neural Networks, Computer Algorithms Cone-Beam Computed Tomography Image Processing, Computer-Assisted
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Detection and Localization of Ultrasound Scatterers Using Convolutional Neural Networks.

IEEE transactions on medical imaging Nov 30, 2020
Delay-and-sum (DAS) beamforming is unable to identify individual scatterers when their density is so high that their point spread functions overlap. This paper proposes a convolutional neural network (CNN)-based method to detect and localize high-den...
Neural Networks, Computer Ultrasonography Microbubbles Phantoms, Imaging
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Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation.

IEEE transactions on medical imaging Nov 30, 2020
Fully convolutional neural networks (FCNs), and in particular U-Nets, have achieved state-of-the-art results in semantic segmentation for numerous medical imaging applications. Moreover, batch normalization and Dice loss have been used successfully t...
Humans Neural Networks, Computer Brain Male Image Processing, Computer-Assisted Calibration Uncertainty
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Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising Autoencoders.

IEEE transactions on medical imaging Nov 30, 2020
We introduce Post-DAE, a post-processing method based on denoising autoencoders (DAE) to improve the anatomical plausibility of arbitrary biomedical image segmentation algorithms. Some of the most popular segmentation methods (e.g. based on convoluti...
Neural Networks, Computer Algorithms Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Cardiac Segmentation With Strong Anatomical Guarantees.

IEEE transactions on medical imaging Oct 28, 2020
Convolutional neural networks (CNN) have had unprecedented success in medical imaging and, in particular, in medical image segmentation. However, despite the fact that segmentation results are closer than ever to the inter-expert variability, CNNs ar...
Neural Networks, Computer Ultrasonography Image Processing, Computer-Assisted Magnetic Resonance Imaging Heart
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Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images.

IEEE transactions on medical imaging Oct 28, 2020
Nuclei segmentation is a fundamental task in histopathology image analysis. Typically, such segmentation tasks require significant effort to manually generate accurate pixel-wise annotations for fully supervised training. To alleviate such tedious an...
Neural Networks, Computer Image Processing, Computer-Assisted Supervised Machine Learning
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Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation.

IEEE transactions on medical imaging Oct 28, 2020
Label free imaging of oxygenation distribution in tissues is highly desired in numerous biomedical applications, but is still elusive, in particular in sub-epidermal measurements. Eigenspectra multispectral optoacoustic tomography (eMSOT) and its Bay...
Animals Deep Learning Mice Bayes Theorem Oxygen Photoacoustic Techniques Tomography
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Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction.

IEEE transactions on medical imaging Oct 28, 2020
Shortage of fully annotated datasets has been a limiting factor in developing deep learning based image segmentation algorithms and the problem becomes more pronounced in multi-organ segmentation. In this paper, we propose a unified training strategy...
Neural Networks, Computer Algorithms Spleen
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